Predictive Analytics in Life Sciences: Leveraging Machine Learning for Drug Development

Authors

Ramesh Betha

Abstract

This white paper explores the transformative potential of predictive analytics and machine learning in drug development within the life sciences sector. We examine how these technologies are revolutionizing traditional drug discovery processes, reducing development timelines, and improving success rates. The paper discusses current applications, challenges, and future prospects of machine learning in pharmaceutical research and development, with a particular focus on target identification, lead optimization, and clinical trial design.

Keywords

Machine Learning, Drug Development, Analytics

Predictive Analytics in Life Sciences: Leveraging Machine Learning for Drug Development. Ramesh Betha. 2020. IJIRCT, Volume 6, Issue 2. Pages 1-7. https://www.ijirct.org/viewPaper.php?paperId=2501113